![]() “Update the pixel positions of the annotated point and the Should be used when the position and size of the bbox needs toīe updated before actually drawing the bbox. Update the location and the size of the bbox. set_figure ( fig ) ¶ update_bbox_position_size ( renderer ) ¶ String or anything printable with ‘%s’ conversion.Īnncoords ¶ contains ( event ) ¶ draw ( artist, renderer, *args, **kwargs ) ¶ĭraw the Annotation object to the given renderer. ![]() If a ‘points’ or ‘pixels’ option is specified, values will beĪdded to the bottom-left and if negative, values will beįloat (0.0 transparent through 1.0 opaque)Ī matplotlib.font_manager.FontProperties instance System since that is the native “data” coordinate You can specify theta, r for the annotation,Įven in cartesian plots. Specify an offset (in points) from the xy value Use the coordinate system of the object being Pixels from the lower left corner of the figureĠ,0 is lower left of figure and 1,1 is upper rightĠ,0 is lower left of axes and 1,1 is upper right Points from the lower left corner of the figure Xycoords and textcoords are strings that indicate theĬoordinates of xy and xytext, and may be one of the If d is the distance between the text andĪnnotated point, shrink will shorten the arrow so the tipĪnd base are shink percent of the distance d away from Oftentimes it is convenient to have the arrowtipĪnd base a bit away from the text and point beingĪnnotated. The width of the base of the arrow head in points The fraction of the arrow length occupied by the head If the dictionary has a key arrowstyle, a (If xytext = None, defaults to xy,Īnd if textcoords = None, defaults to xycoords).Īrrowprops, if not None, is a dictionary of line properties Annotation ( s, xy, xytext=None, xycoords=u'data', textcoords=None, arrowprops=None, annotation_clip=None, **kwargs ) ¶īases:, matplotlib.text._AnnotationBaseĪnnotate the x, y point xy with text s at x, y ![]() x_range ), "hwy", source = df, alpha = 0.Classes for including text in a figure. circle ( jitter ( "class", 0.3, range = p. quantile ( 0.20 ) source = ColumnDataSource ( data = dict ( base = classes, upper = upper, lower = lower )) error = Whisker ( base = "base", upper = "upper", lower = "lower", source = source, level = "annotation", line_width = 2 ) error. unique ())) p = figure ( height = 400, x_range = classes, background_fill_color = "#efefef", title = "Car class vs HWY mpg with quintile ranges" ) p. grid_line_color = None show ( p )įrom bokeh.models import ColumnDataSource, Whisker from otting import figure, show from 2 import autompg2 as df from ansform import factor_cmap, jitter classes = list ( sorted ( df. ![]() line ( "Date", "Sunrise", source = daylight_warsaw_2013, color = 'orange', legend_label = "Sunrise" ) dst_start = Span ( location = dt ( 2013, 3, 31, 2, 0, 0 ), dimension = 'height', line_color = '#009E73', line_width = 5 ) p. line ( "Date", "Sunset", source = daylight_warsaw_2013, color = 'navy', legend_label = "Sunset" ) p. add_layout ( band ) show ( p )įrom datetime import datetime as dt from bokeh.models import Span from otting import figure, show from import daylight_warsaw_2013 p = figure ( height = 350, x_axis_type = "datetime", y_axis_type = "datetime", title = "2013 Sunrise and Sunset in Warsaw with DST dates marked", y_axis_label = "Time of Day", background_fill_color = "#fafafa" ,) p. line ( "x", "y_mean", line_dash = ( 10, 7 ), line_width = 2, source = source ) band = Band ( base = "x", lower = "lower", upper = "upper", source = source, fill_alpha = 0.3, fill_color = "gray", line_color = "black" ) p. scatter ( x = "x", y = "y", marker = "dot", size = 10, alpha = 0.4, source = source ) p. reset_index ()) p = figure ( tools = "", toolbar_location = None, x_range = ( 40, 160 )) p. DataFrame ( data = dict ( x = x, y = y )). Import numpy as np import pandas as pd from bokeh.models import Band, ColumnDataSource from otting import figure, show # Create some random data x = np.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |